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PyData London News March 2024¶

83rd Meetup, hosted by Man Group¶

@PyDataLondon¶

PyData Code of Conduct¶

https://pydata.org/code-of-conduct/¶

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NumFOCUS¶

  • US-based charity in support of open-source scientific computing
  • Financial and admin support for many open-source projects
  • Support for many community events
  • https://numfocus.org
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PyData¶

  • Educational program by NumFOCUS
  • A global community
  • 228 groups across 80 countries world-wide
  • 218,000+ users world-wide (+23,000 per year!)
  • https://www.meetup.com/pro/pydata/
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PyData London¶

  • 13,800+ members (Approx +100 members/month, we can do better! Tell a friend! Submit a talk! Need more ⚡)

  • Monthly meetup + annual conference

  • All run by volunteers

  • Propose a Talk: https://london.pydata.org/submit-a-talk/

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Man Group¶

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  1. The world's largest publicly traded hedge fund company
  2. Lots of open positions in both tech and research!
  3. Sponsors PyData London ❤️❤️❤️

Upcoming Conferences¶

Courtesy of https://pythondeadlin.es/¶

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PyData London¶

  • CFP closed and talks are being reviewed, expect a schedule in April
  • Tickets available on https://pydata.org/london2024
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Tonight's Schedule¶

18:30 Doors open¶

19:00 Talks start ⬅️ YOU ARE HERE¶

19:15 Talk #1 + Q&A¶

19:45 Scheduled Lightning talk¶

19:50 Break 🥂¶

20:05 Talk #2 + Q&A¶

20:35 ⚡ Lightning Talk ⚡ + 📣 Community Announcements 📣¶

20:45 to 21:00 We're done 🔜 The Banker 🍻¶

1️⃣ 📊💸 Building the single-source-of-truth: developing a system for large-scale entity resolution — Ludvig Wärnberg Gerdin¶

Entity matching is a challenge to all multi-source database systems and therefore relevant to all small- to large-scale software projects.

Not only is the process by which the entity resolution is conducted a hard problem (for example, not all records can be compared against each other but have to be blocked in an efficient manner for comparison) but there are also an abundance of methods to do the comparison of records (for example, are we using exact-search of keys of records or maybe a deep learning approach).

2️⃣ 🛠️🌐 The future of AI: Opensource LLMs — Kehinde Richard Ogunyale¶

The rapid advancement in the field of Large Language Models (LLMs) has ushered in a new era of technological possibilities and challenges. This talk focuses on the future trajectory of AI with a specific emphasis on open-source LLMs. We will explore how the democratization of AI through open-source models is reshaping the landscape of innovation, accessibility, and collaboration in the field.

⚡ Lightning Talks ⚡¶

⚡1️⃣ Asking the right question (and measuring the right things) — Adam Kells¶

🕊️ Tweet #pydatalondon and @pydatalondon 🦆¶